Windfall

ML Engineer

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Requirements

Candidates should have experience in model development and deployment, algorithm optimization, and scalable infrastructure. A strong background in machine learning, artificial intelligence, and data science is essential, along with the ability to collaborate cross-functionally with data scientists and software engineers.

Responsibilities

The ML Engineer will design, build, and deploy scalable machine learning models to enhance product features and optimize performance. They will fine-tune algorithms for improved accuracy and efficiency, develop and maintain machine learning pipelines, and stay updated on the latest research to drive product innovation.

Skills

Model Development
Algorithm Optimization
Machine Learning Algorithms
Machine Learning Pipelines
Data Infrastructure
Cross-Functional Collaboration
Scalable Machine Learning

Windfall

Provides people insights for customer engagement

About Windfall

Windfall provides insights that help organizations identify and engage potential customers across various industries, including retail, travel, finance, education, healthcare, and nonprofits. Its platform uses a wide range of data attributes and intent signals to help businesses understand key customer segments and uncover opportunities for targeted outreach. Clients can access the platform through a subscription model, which includes tools for measuring the effectiveness of their marketing campaigns. Windfall differentiates itself by offering tailored solutions for different roles within organizations, ensuring that clients can maximize their marketing efforts and drive revenue growth. The goal of Windfall is to help businesses achieve quick results and significant growth by providing accurate and meaningful insights.

Key Metrics

Carlisle, MassachusettsHeadquarters
2016Year Founded
$30.3MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Benefits

Medical, dental, and vision
Retirement benefits
Commuter benefits
Long-term disability and life
Paid time off
Paid sick and volunteer days
Paid parental leave
Floating holidays
Stock options
Fully-stocked kitchen
Pet-friendly office
Remote-enabled

Risks

Emerging data analytics startups pose a threat to Windfall's market share.
Privacy concerns and regulatory scrutiny may impact Windfall's data collection practices.
Economic downturns could lead to reduced client spending on data analytics services.

Differentiation

Windfall offers weekly refreshed consumer financial data for precise customer insights.
The platform integrates with major systems like Microsoft Dynamics and Shopify for seamless workflows.
Windfall's solutions are tailored for diverse industries, enhancing targeted advertising and engagement.

Upsides

Growing demand for data-driven marketing boosts Windfall's market potential.
Increased interest in wealth intelligence aids Windfall's expansion in nonprofit sectors.
Rising CRM integrations enhance Windfall's value in personalized marketing efforts.

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